AccessMod: geographic access to health care 

 Sustainable Development Goal 3 (SDG 3) aims to ensure healthy lives and promote well-being for all at all ages. This implies a well-functioning health system providing promotive, preventive and curative care. The establishment of a physical infrastructure through which quality health care services can be provided is a basic requirement when moving towards Universal Health Coverage (UHC). Ensuring that health services are available, timely accessible and respond to the needs of individuals and communities has a direct impact on health outcomes. 

AccessMod 

AccessMod is a toolbox that has been developed to assist countries to examine the geographic aspects of their health system. It specifically addresses the first three layers of a well-known framework developed by Tanahashi (1978) to evaluate health service coverage (the specific three layers being: the target population, availability coverage and accessibility coverage). By assessing how physically accessible the current health system is, AccessMod allows identifying gaps and weaknesses with respect to reaching target populations. Moreover, AccessMod allows for the testing of different options aiming at extending (scaling up) the existing health care delivery network to expand population coverage, thereby directly supporting the planning processes and informing the implementation of policies supporting UHC and SDG 3. 

More specifically, AccessMod uses the integrating power of geography as well as the visual and analytical capacities of Geographic Information Systems (GIS) to: 

  • Assess how physically accessible existing health services are to the target population - Physical accessibility analysis 

  • Estimate the share of the target population that would have physical access to existing facilities but that could not receive care due to shortages of human or equipment capacity - Geographic coverage analysis 

  • Measure travel time and distances between health facilities to estimate for example the time required for referral to a higher-level facility or to deliver supplies from a supply store to a facility - Referral analysis 

  • Identify physical accessibility coverage (i.e., percentage of the population having physical access to health services within a given time) at the sub-national level and this for different travel time specified by the user - Zonal statistics 

  • Design and simulate different scenarios aiming at scaling up the existing service delivery network in order to increase population coverage - Scaling up analysis

Accessmod-functions

Version 5 of AccessMod is packaged as a stand-alone open-source application that can run on different platforms (Windows, Linux, Mac) through the use of a virtual machine (VirtualBox or Docker). The tool allows to input geospatial data prepared by different GIS software (QGIS, ArcGIS, GRASS,...). AccessMod can be downloaded together with a user manual (online or pdf), sample datasets and examples of application in countries, from www.accessmod.org/

For further information and support, also visit gis-who.hub.arcgis.com/

Country reports

In recognition of the key impact that Emergency Obstetric Care (EmOC) can have on maternal mortality and safe birth outcomes, the WHO-CHOICE project has supported the use of AccessMod to examine geographic accessibility to EmOC services in four countries (Burkina Faso, Cambodia, Lao People’s Democratic Republic and Malawi).

More specifically, the analysis aimed at:

  • Measuring accessibility coverage at subnational level to determine how physically accessible resources are for the population, specifically the percentage of births where the household can access EmOC within 2 hours of travel time.
  • Measuring geographic coverage (availability) at subnational level to determine whether sufficient resources are available to provide the required health services.
  • Comparing estimates of accessibility and availability with actual service utilization in order to assess potential bottlenecks to effective coverage.
  • Designing scenarios to model an increase in accessibility and geographic coverage that would occur from specific investments aimed at increasing the number and/or capacity of EmOC facilities. This can inform investment strategies with an associated estimated cost to increase coverage and improve maternal health outcomes.

 

Country report publications